News & Research

As part of a partnership between CEPRES and Qontigo, a new suite of factor risk models that provide broad coverage of the private asset fund space is now available in Axioma Risk, Qontigo’s enterprise risk management platform.

Throughout 2022 and into 2023, the EM gauge has shown lower forecast and realized volatility than the global DM benchmark. A new whitepaper investigates the drivers of this anomaly.

This paper investigates the effectiveness of a proxy for the new SDI Innovation Outlook score in predicting equity returns and enabling the construction of outperforming portfolios.

In this paper, our goal is to show how sustainability ETF exposures to a number of sustainability-related factors may vary. It is eminently clear to us that investors with a view about key sustainability features cannot rely on the fund name, but instead need to do more digging into whether their fund meets the required criteria.

In this research paper, we showcase how a portfolio manager can replicate fixed income indices using the Axioma Portfolio Optimizer and the Axioma Credit Spread Factor Risk Model. We replicate a US high yield index with liquid bonds and a set of derivatives and test the solution from a risk perspective. The end goal is to create a set of portfolios that is more cost efficient, as (or more) liquid and as diversified as the index.

This paper focuses on creating SDG portfolios that maximize exposure to one, two or all SDGs. The study shows that it is quite possible to create a portfolio that significantly improves the exposure to SDGs without taking on too much active risk. An optimizer can help manage that active risk.

Another tech bubble may be about to burst, triggering a US recession. There are multiple similarities between the current tech bubble and the dot-com bubble. This time, however, the Fed cannot leverage interest-rate cuts to put the brakes on a market decline, due to the current record-high inflation combined with low interest rates.

How badly could a portfolio get hurt? What scenario would be responsible for such a loss? What are the main risk drivers in this scenario and how plausible would such a scenario be? These questions are all part of what is commonly called reverse stress testing. This paper aims to illustrate how one could follow a very pragmatic end-to-end workflow to answer these questions.

Historically Canadian equity managers have had difficulty accurately modeling their investment universe across the US and Canada. North America regional risk models used to construct portfolios just aren’t able to capture the nuances of both markets and are dominated by the US. That’s why we created the Axioma North America Linked Model.

In risk management a lot of focus and attention is (rightly) put on models and methodologies used to compute ex-ante risk measures. And in the context of a multi-asset class universe which is vast by nature, perfect data (market data, terms and conditions provided by the user) and bug-free algorithms are not always possible. Therefore, one of the key challenges for risk managers is to ensure that any risk analytic produced is sound and reliable.

In this paper, we examine the historical interaction of equity and bond-market returns—both in the recent past and over the last 70 years—in an effort to identify the main triggers of shifts in their relative directions.

This whitepaper evaluates two thematic investment strategies – STOXX® Global Ageing Population (“Ageing Population”) and STOXX® Global Millennials (“Millennials”) – which seek exposure to these two distinct generations.